Ridge Regression Prediction Model for Temperatures of South China in May
The temperature variability of South China in May is investigated, identifying precursor signals in sea surface temperatures (SST) and exploring the potential physical processes influencing these variations. A ridge regression prediction model has been developed. The analysis reveals that during yea...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Editorial Office of Journal of Applied Meteorological Science
2024-07-01
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| Series: | 应用气象学报 |
| Subjects: | |
| Online Access: | http://qikan.camscma.cn/en/article/doi/10.11898/1001-7313.20240408 |